Structurally coupled inversion of ERT and refraction seismic data combined with cluster-based model integration
(2017) In Journal of Applied Geophysics 143. p.169-181- Abstract
Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical... (More)
Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical resistivity and refraction seismic data using unstructured meshes. Mean shift clustering is used to combine the two images and to compare the separate and coupled inversion methodologies. Two synthetic examples are used to demonstrate the method, and a field-data example is included as a proof of concept. In all cases a significant improvement by the coupling is visible. The methodology can be used as a tool for improved data interpretation and for obtaining a more comprehensive and complete picture of the subsurface by combining geophysical methods.
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- author
- Hellman, Kristofer LU ; Ronczka, Mathias LU ; Günther, Thomas ; Wennermark, Marcus ; Rücker, Carsten and Dahlin, Torleif LU
- organization
- publishing date
- 2017-08-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cluster analysis, ERT, Joint inversion, Refraction seismics, Structurally coupled inversion
- in
- Journal of Applied Geophysics
- volume
- 143
- pages
- 13 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85021040325
- wos:000407524800016
- ISSN
- 0926-9851
- DOI
- 10.1016/j.jappgeo.2017.06.008
- project
- Integrated Use and Interpretation of Data from Geophysical and Non-Geophysical Methods for Site Investigation for Underground Construction
- language
- English
- LU publication?
- yes
- id
- f4eadb77-2331-42e1-a00b-a9a6879f3697
- date added to LUP
- 2017-07-11 10:53:05
- date last changed
- 2025-01-07 16:58:40
@article{f4eadb77-2331-42e1-a00b-a9a6879f3697,
abstract = {{<p>Electrical resistivity tomography (ERT) and refraction seismics are among the most frequently used geophysical methods for site-investigations and the combined results can be very helpful to fill in the gaps between the point measurements made by traditional geotechnical methods such as Cone Penetration Test (CPT), core-drilling and geophysical borehole logging. The interpretation of the results from a geophysical investigation constituting a single method often yields ambiguous results. Hence, an approach utilizing multiple techniques is often necessary. To facilitate interpretation of such a combined dataset, we propose a more controlled and objective approach and present a method for a structurally coupled inversion of 2D electrical resistivity and refraction seismic data using unstructured meshes. Mean shift clustering is used to combine the two images and to compare the separate and coupled inversion methodologies. Two synthetic examples are used to demonstrate the method, and a field-data example is included as a proof of concept. In all cases a significant improvement by the coupling is visible. The methodology can be used as a tool for improved data interpretation and for obtaining a more comprehensive and complete picture of the subsurface by combining geophysical methods.</p>}},
author = {{Hellman, Kristofer and Ronczka, Mathias and Günther, Thomas and Wennermark, Marcus and Rücker, Carsten and Dahlin, Torleif}},
issn = {{0926-9851}},
keywords = {{Cluster analysis; ERT; Joint inversion; Refraction seismics; Structurally coupled inversion}},
language = {{eng}},
month = {{08}},
pages = {{169--181}},
publisher = {{Elsevier}},
series = {{Journal of Applied Geophysics}},
title = {{Structurally coupled inversion of ERT and refraction seismic data combined with cluster-based model integration}},
url = {{https://lup.lub.lu.se/search/files/42603768/Hellman_et_al_2017_Structurally_coupled_inversion_of_ERT_and_refraction_seismic_data_combined_with_cluster_based_model_integration_JoAG_143_169_181.pdf}},
doi = {{10.1016/j.jappgeo.2017.06.008}},
volume = {{143}},
year = {{2017}},
}